}

  /**
   * Returns a {@code Future} whose result is taken from the given primary {@code input} or, if the
   * primary input fails with the given {@code exceptionType}, from the result provided by the
   * {@code fallback}. {@link AsyncFunction#apply} is not invoked until the primary input has
   * failed, so if the primary input succeeds, it is never invoked. If, during the invocation of

                                        <div class="input-group">
                                            <la:text styleId="notificationTo" property="notificationTo"
                                                     styleClass="form-control"/>
                                            <div class="input-group-append">

//          automatic skipping of dummy input operations is performed.
//  ninputs - number of elements in `inputs` array
//  inputs - array of TF_Outputs that specify the inputs to the function.
//           If `ninputs` is zero (the function takes no inputs), `inputs`
//           can be null. The names used for function inputs are normalized

		input[i] = byte(i % 251)
		if i%101 == 0 {
			input[i] ^= byte(i / 101)
		}
	}
	return input
}

func TestReaderWriteTo(t *testing.T) {
	input := createTestInput(8192)
	r := NewReader(onlyReader{bytes.NewReader(input)})
	w := new(bytes.Buffer)
	if n, err := r.WriteTo(w); err != nil || n != int64(len(input)) {
		t.Fatalf("r.WriteTo(w) = %d, %v, want %d, nil", n, err, len(input))
	}

      }
    }

    private fun isDot(input: String): Boolean = input == "." || input.equals("%2e", ignoreCase = true)

    private fun isDotDot(input: String): Boolean =
      input == ".." ||
        input.equals("%2e.", ignoreCase = true) ||
        input.equals(".%2e", ignoreCase = true) ||
        input.equals("%2e%2e", ignoreCase = true)

    /**

  TFE_DeleteContextOptions(opts);

  TFE_TensorHandle* input1 = TestMatrixTensorHandle(ctx);
  TFE_TensorHandle* input2 = TestMatrixTensorHandle(ctx);
  TFE_Op* identityOp = TFE_NewOp(ctx, "IdentityN", status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_TensorHandle* inputs[] = {input1, input2};
  TFE_OpAddInputList(identityOp, inputs, 2, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

			input:      testInput,
			query:      `select id from S3Object s WHERE s.id in [4,3]`,
			wantResult: ``,
		},
		{
			name:       "select-float-by-val",
			input:      testInput,
			query:      `SELECT num2 from s3object s WHERE num2 = 0.765111`,
			wantResult: `{"num2":" 0.765111"}`,
		},
		{
			name:       "select-non_exiting_values",
			input:      testInput,

  // The first one will the function's output
  std::vector<TF_Output> outputs;

  // Add while loop to func_graph_
  {
    // The inputs to the while loop
    std::vector<TF_Output> inputs = {{feed1, 0}, {feed2, 0}};
    std::unique_ptr<TF_WhileParams> params(new TF_WhileParams(
        TF_NewWhile(func_graph_, &inputs[0], inputs.size(), s_)));

      Iterator<? extends T>... inputs) {
    for (Iterator<? extends T> input : checkNotNull(inputs)) {
      checkNotNull(input);
    }
    return concat(consumingForArray(inputs));
  }

  /**
   * Divides an iterator into unmodifiable sublists of the given size (the final list may be
   * smaller). For example, partitioning an iterator containing {@code [a, b, c, d, e]} with a

      Iterator<? extends T>... inputs) {
    for (Iterator<? extends T> input : checkNotNull(inputs)) {
      checkNotNull(input);
    }
    return concat(consumingForArray(inputs));
  }

  /**
   * Divides an iterator into unmodifiable sublists of the given size (the final list may be
   * smaller). For example, partitioning an iterator containing {@code [a, b, c, d, e]} with a